1. Article › Research › Peer-reviewed
2. Published

   A Machine Learning Integrated 5.8-GHz Continuous-Wave Radar for Honeybee Monitoring and Behavior Classification

   Aldabashi, N., Morton Williams, S., Eltokhy, A., Palmer, E., Cross, P. & Palego, C., Sept 2023, In: IEEE Transactions on Microwave Theory and Techniques. 71, 9, p. 4098-4108 11 p.

   Research output: Contribution to journal › Article › peer-review

3. Published

   A comparison of machine-learning assisted optical and thermal camera systems for beehive activity counting

   Morton Williams, S., Bariselli, S., Palego, C., Holland, R. & Cross, P., 1 Dec 2022, In: Smart Agricultural Technology. 2, 100038.

   Research output: Contribution to journal › Article › peer-review

4. Published

   Challenges in Developing a Real-time Bee-counting Radar

   Morton Williams, S., Aldabashi, N., Cross, P. & Palego, C., 1 Jun 2023, In: Sensors. 23, 11

   Research output: Contribution to journal › Article › peer-review

5. Published

   Early prediction of bumblebee flight task using machine learning

   Morton Williams, S., Aldabashi, N., Palego, C., Woodgate, J., Makinson, J. & Cross, P., 1 May 2021, In: Computers and Electronics in Agriculture. 184, 11 p., 106065.

   Research output: Contribution to journal › Article › peer-review

6. Conference contribution › Research › Peer-reviewed
7. Published

   Integration of 5.8GHz Doppler Radar and Machine Learning for Automated Honeybee Hive Surveillance and Logging

   Aldabashi, N., Williams, S., Eltokhy, A., Palmer, E., Cross, P. & Palego, C., 27 Oct 2021, 2021 IEEE MTT-S International Microwave Symposium (IMS). IEEE

   Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review